[hpc-announce] CFP: International Workshop on The Lustre Ecosystem

Michael J. Brim brimmj at ornl.gov
Wed Dec 10 16:07:45 CST 2014

[Apologies if you receive multiple copies of this call.]


International Workshop on The Lustre Ecosystem: Challenges and Opportunities


March 3-4, 2015
Annapolis, Maryland, USA


Note: all submission deadlines are midnight anywhere-on-earth

Extended abstracts due:		January 23, 2015
Acceptance notification:	February 11, 2015
Technical presentations:	March 4, 2015
Full papers due:		March 13, 2015

**** SCOPE and TOPICS ****

Large-scale storage systems are often difficult to manage with 
complicated interactions between expensive storage hardware, high 
performance interconnection networks, and client computer systems.  The 
Lustre parallel file system has been widely adopted by high-performance 
computing (HPC) centers as an effective system for managing large-scale 
storage resources. Lustre achieves unprecedented aggregate performance 
by parallelizing I/O over file system clients and storage targets at 
extreme scales. Today, 7 out of 10 fastest supercomputers in the world 
use Lustre for high-performance storage.

Lustre development has focused on improving the performance and 
scalability of large-scale scientific workloads. In particular, 
large-scale checkpoint storage and retrieval, which is characterized by 
bursty I/O from coordinated parallel clients, has been the primary 
driver of Lustre development over the last decade. With the advent of 
extreme scale computing and Big Data computing, many HPC centers are 
seeing increased user interest in running diverse workloads that place 
new demands on Lustre.

In this workshop, we seek contributions that explore improvements in the 
performance and flexibility of the Lustre file system for supporting 
diverse workloads. This will be a great opportunity for the Lustre 
community to discuss the challenges associated with enhancing Lustre for 
diverse applications, the technological advances necessary, and the 
associated ecosystem.

Specific topics of interest include, but are not limited to:
•	Workload Characterization
•	Adaptability and Scalability of Lustre for Diverse Workloads
•	Resilience and Serviceability of Lustre
•	Knowledge Provenance in Lustre
•	Application-driven Lustre Benchmarking
•	Integrating Big Data Technologies with Lustre
•	Performance Monitoring Tools for Lustre


Authors should electronically submit extended abstracts of previously 
unpublished work in PDF format. Abstracts may consist of up to 5 US 
letter-size (8.5 by 11in.) pages, including figures, tables, and 
references. Submissions should be formatted in IEEE Computer Society 
conference proceedings style.

Accepted abstracts are expected to be expanded into technical papers of 
at most 10 pages in length, all-inclusive. Full papers will be due the 
week following the workshop, and will undergo shepherding in preparation 
for publication in the workshop proceedings.


Neena Imam, Oak Ridge National Laboratory, USA
Michael Brim, Oak Ridge National Laboratory, USA
Sarp Oral, Oak Ridge National Laboratory, USA

Jason Hill, Oak Ridge National Laboratory, USA


Jeremy Archuleta, Oak Ridge National Laboratory, USA
Michael Brim, Oak Ridge National Laboratory, USA
Jason Hill, Oak Ridge National Laboratory, USA
Josh Lothian, Oak Ridge National Laboratory, USA
Sarp Oral, Oak Ridge National Laboratory, USA
Joel Reed, Oak Ridge National Laboratory, USA
Rob Ross, Argonne National Laboratory, USA
Nathan Rutman, Seagate, USA
Stephen Simms, Indiana University, USA
Sudharshan Vazhkudai, Oak Ridge National Laboratory, USA
Weikuan Yu, Auburn University, USA

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